Azure Data Engineer — ETL & Synapse Pipelines

Bluelightconsulting; Naucalpan de Juárez; A distancia; MXN 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

Bluelight is seeking a data engineer to build and optimize ETL pipelines using Python (PySpark) within Azure Synapse, extracting data from REST APIs, SQL tables and CSV files and modeling data in an MPP SQL pool. You will collaborate with data architects on star schemas, data lakes, and data cataloging while ensuring data quality and governance across the environment.

This role sits in a dynamic, cross‑regional team with strong emphasis on collaboration and growth.

Formación

• ETL data engineering experience with Python (PySpark) for data extraction, transformation and loading from REST APIs, SQL databases and CSV files.
• Proficiency with Azure Synapse Analytics resources including Notebooks and Pipelines.
• Strong SQL, SparkSQL and MS SQL for ETL/ELT tasks and data modeling.
• Knowledge of data integration best practices and version control (Git/Azure DevOps).

Responsabilidades

• Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse notebooks/pipelines.
• Design star schemas, facts and dimensions for scalable data storage in an MPP SQL pool.
• Extract data from REST APIs, SQL tables and CSV files and ensure data quality.
• Collaborate with data architects to model data and ensure governance and security standards.
• Monitor pipelines, diagnose issues and optimize performance to meet SLAs.
• Document ETL data flows and data transformations for future maintenance.

Conocimientos

ETL data engineering

Python (PySpark)

SQL & SparkSQL

Azure Synapse Analytics

Data governance

Educación

Bachelor's degree in Computer Science or IT

Herramientas

Azure Synapse Notebooks

Azure Synapse Pipelines

Linked Services

Azure Key Vault

Git / Azure DevOps

Descripción del empleo

Bluelight is seeking a data engineer to build and optimize ETL pipelines using Python (PySpark) within Azure Synapse, extracting data from REST APIs, SQL tables and CSV files and modeling data in an MPP SQL pool. You will collaborate with data architects on star schemas, data lakes, and data cataloging while ensuring data quality and governance across the environment.

This role sits in a dynamic, cross‑regional team with strong emphasis on collaboration and growth.